We might well ask what does all this data have to do with intelligence in any way?
To paraphrase Einstein, who made this a, comment, data is about knowing things or
knowing facts, or data points. The point is to understand and then to
predict. And that's what all knowledge and use of
knowledge is all about. I'll illustrate this with a simple
example. This is a simple game and the red dots are
following the eyes of the player. As the game is played.
Notice where the dots are, and notice this, look at this player on the right
instead. There's a marked difference between.
How the player on the left plays, which is how the player on the right plays.
Can any of you figure this out? It's quite simple/ The player on the left
is reacting to where, the ball is. Whereas the player on the right, is.
Predicting, where the ball is going to go. If you were to, wonder, which kind of game
you played, what would your guess be? Turns out that almost all of us play the
game on the right. Which is predictive intelligence.
The question is how. And we learn to play the game on the right
from all the data that we encounter in our lives.
So what we're gonna talk about in this course is organized.
In the following way. The kind of data that we find, in the
world. By looking around.
How we dis, figure out which data to tune into versus ignore.
What kind of facts or knowledge we can learn from such data.
How we can put two and two together and connect different pieces of data with each
other just. An then use these connections to predict.
What's going to happen next? And finally, though we might not get to
that in this course, how do use these predictions to figure out where to move
the paddle, and correct our own actions? Turns out that prediction, based on past
experience, is what all conscious human beings, conscious animals, in fact, do all
the time. And that is exactly what big data enables
large number of machines to do every day on the web.
Let's see how.